dc.contributor.author |
Talai, Stephen M. |
|
dc.contributor.author |
Desai, Dawood A. |
|
dc.contributor.author |
Heyns, Stephan P. |
|
dc.date.accessioned |
2022-01-17T12:26:56Z |
|
dc.date.available |
2022-01-17T12:26:56Z |
|
dc.date.issued |
2019 |
|
dc.identifier.uri |
https://doi.org/10.1016/j.aej.2019.03.008 |
|
dc.identifier.uri |
http://ir.mu.ac.ke:8080/jspui/handle/123456789/5690 |
|
dc.description.abstract |
This paper concerns the development of methodology for use of Infrared thermography (IRT) for online prediction of mechanical structural vibration behaviour; given that it has extensively been applied in non-destructive technique for evaluation of surface cracks through the observation of thermal imaging of the vibration-induced crack heat generation. To achieve this, AISI 304 steel cantilever beam coupled with a slipping friction rod was subjected to a forced excitations with an infrared camera capturing the thermal profile at the friction interface. The analysis of thermal image data recorded (radiometric) for the frictional temperature time domain waveform using a MATLAB FFT algorithm in conjunction to IR camera frequency resolution of 120 Hz and the use of the heat conduction equation with the help of a finite difference approach successfully identified the structural vibration characteristics in terms of frequency and displacement, the maximum relative errors being 0.09% and 5.85% for frequencies and displacements, respectively. These findings are particularly useful in overcoming many limitations inherent in some of the current vibration measuring techniques in harsh and remote environments. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.subject |
Infrared thermography |
en_US |
dc.subject |
Structural health monitoring |
en_US |
dc.title |
Infrared thermography applied to the prediction of structural vibration behaviour |
en_US |
dc.type |
Article |
en_US |